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pandas.Series.cat.remove_categories#

Series.cat.remove_categories(*args,**kwargs)[source]#

Remove the specified categories.

removals must be included in the old categories. Values which were inthe removed categories will be set to NaN

Parameters:
removalscategory or list of categories

The categories which should be removed.

Returns:
Categorical

Categorical with removed categories.

Raises:
ValueError

If the removals are not contained in the categories

See also

rename_categories

Rename categories.

reorder_categories

Reorder categories.

add_categories

Add new categories.

remove_unused_categories

Remove categories which are not used.

set_categories

Set the categories to the specified ones.

Examples

>>>c=pd.Categorical(['a','c','b','c','d'])>>>c['a', 'c', 'b', 'c', 'd']Categories (4, object): ['a', 'b', 'c', 'd']
>>>c.remove_categories(['d','a'])[NaN, 'c', 'b', 'c', NaN]Categories (2, object): ['b', 'c']

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